Under-the-hood improvements to the general tagging feature of Visual Recognition have expanded its ability to accurately recognize the overall scene of an image. Read more.
Introducing the IBM Watson Visual Recognition food model which provides enhanced specificity and accuracy for food items based on over 2,000 food-specific tags.
Today, we’re introducing an update to our algorithms that significantly enhances the performance of our Visual Recognition general tagging feature. Users will not only see over three times more tags returned for each image on average, but also greater specificity in those tags due to a 150% increase in the active vocabulary of the system.
The Custom Classifiers feature of the Watson Visual Recognition API enables users to adapt Watson to any custom visual content. Explore examples and best practices to help you make the most out of your Custom Classifiers.
Similarity Search BETA comes to Watson Visual Recognition, allowing users to find images similar to a queried image.